ML integration Engineer

6 to 9 years of experienceSkills: Python, OpenShift, Kubernetes, LLM Prompt Engineering, RAG, Microservices ArchitectureAbout ClientEnterprise Analytics (EA) stands at the forefront of the bank's vision, aiming to establish the bank as a leader in deploying cutting-edge Machine Learning models. Comprising a team of experts, we focus on enhancing the bank's...

Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements. - Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD...

We are looking for a highly motivated and experiencedAI Engineerto join our team and lead the development of intelligent solutions usingAdvanced Python,Machine Learning (ML)andArtificial Intelligence (AI)techniques. The ideal candidate will have strong expertise inAPI integration,Natural Language Processing (NLP), and building scalable AI-driven...

We're seeking an experienced Senior AI/ML Engineer Lead to join our clients team. As a Senior AI/ML Engineer Lead, you will lead the development and deployment of AI and machine learning solutions, driving innovation and growth across the organization. You will work closely with cross-functional teams to design, develop, and integrate AI/ML models into...

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by Client data scientists. **Technical Skills** - Proficiency in Python used both for ML and automation tasks - Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have. - Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI,...

We're seeking an experienced Senior AI/ML Engineer Lead to join our clients team. As a Senior AI/ML Engineer Lead, you will lead the development and deployment of AI and machine learning solutions, driving innovation and growth across the organization. You will work closely with cross-functional teams to design, develop, and integrate AI/ML models into...

**Who are we looking for**: We seek an experienced **Machine Learning Engineer (Senior)**to transform cutting-edge research into robust, production-ready services for synthetic data generation and to optimize both deep learning and classical ML algorithms (e.g. tree-based models) at enterprise scale (billions of rows). You will build and tune model pipelines...

Epergne Solutions is looking for AI- ML Engineer **Job Role**: Responsible for ensuring that ML models and Data pipelines are deployed successfully into production - Develop and maintain backend services for Data and ML - Optimize and manage databases - Automate model training, testing and deployment using CI/CD - Understand and implement metrics to verify...

Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements - Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD...

**What is Splore?** **Splore** is redefining how enterprises harness the power of generative AI and multi-agent systems. We work closely with established partners across industries like finance, legal, and tech, enabling them to solve real-world challenges and drive productivity. We integrate state-of-the-art AI technologies into existing business...